Every business is surrounded by technologies like Machine learning (ML) and Artificial Intelligence (AI). These have become the next digital frontier, and they are in almost every application and have seeped into our lives very deeply. These are one of the fastest-growing and expanding fields. As result, there is an increasing demand for AI and ML Bootcamp programs in recent years.
Machine Learning has profound implications for society and business.
Some powerful stats regarding machine learning include:
- According to Grandview Research, the annual growth rate of the Machine Learning market is expected to shoot up by 40.2%
- According to Fortune Business, the Global Artificial Intelligence Market Size is anticipated to reach USD 202.57 billion by the year 2026
- Another report by Forbes states that last year observed the growth of a whopping 58 million job roles.
- Machine learning is almost everywhere these days. Where there is a smartphone, there are machine learning applications. It has traversed a long path from sci-fi movies to our lives very soon.
- Some of the big names looking for Machine Learning Engineers include Amazon, EY, Microsoft, IBM, Google, Adobe, JPMorgan Chase, and many more.
- Machine Learning Specialists are in demand in almost every industry, including Information Technology, BFSI (Banking, Financial Services, and Investments), Consultancy, media and entertainment, and others.
- By 2024, it is anticipated that revenue from corporate applications utilizing artificial intelligence (AI) technology, including its sub-segments machine learning and deep learning, will increase by more than 50% annually, reaching $37.9 billion.
This article will let you know about the top skills that are in demand in the Machine Learning domain.
Top Machine Learning Skills In-Demand
Some of the top in-demand skills in the field of Machine Learning are mentioned below.
Deep Learning Skills and TensorFlow
Data Science is related to dealing with the analysis of massive amounts of data. It aims at deriving business benefits, both inside and outside. Data science specialties that use neural networks to speed up, improve accuracy, and enhance the intelligence of analysis are now growing. Machine learning techniques are used to develop neural networks, a sophisticated computation model that functions a lot like the human brain. TensorFlow, an open-source software library created by Google to undertake machine learning and deep neural network research, is one of the most widely used deep learning software platforms. TensorFlow-based deep learning models are employed in a variety of fields, such as healthcare, agricultural yield improvement, and climate change research, which has led to an increase in the need for deep learning expertise.
Natural Language Processing
It is the field of AI and Computer Science which includes identifying and processing the communication between computers and natural human languages. NLP technologies are utilized when it is required to process natural language data efficiently on a huge scale, leveraging analysis to carry out tasks like improvement of speech recognition, which has significant implications across different industries. Natural Language Processing is one of the most in-demand skills these days.
Statistics
When it comes to machine learning and data science, Statistics is something that comes at the top of the list. Machine Learning models heavily rely on statistical systems. This is why statistics play a crucial role in Machine Learning.
Robotic Process Automation
RPA or Robotic Process Automation refers to the application of technology in such a manner that experts can easily configure a robot or computer software to catch and interpret current applications for manipulating the data, processing a transaction, interacting with digital systems, and triggering responses.
The worldwide RPA market for software and services is anticipated to grow to USD 7.64 billion by the year 2028.
Programming Skills
Most technical things require you to possess sound programming knowledge. Machine learning is no exception. Machine Learning mostly relies on algorithms which clearly implies that it is crucial to possess programming skills. Dealing with little types of things, such as writing simple programs, scripting web pages, etc., is very different from dealing with machine notions.
Large data sets are used in machine learning, so it is essential to have a solid foundation in fundamental concepts like complexity, computer architecture, algorithms, and data structures. Exploring new ideas and going in-depth with the programming books can be beneficial.
One of the most crucial programming languages used in most machine-learning models is Python. It is believed to be preferred by Data Scientists and Machine Learning experts across the globe. Python is equipped with many useful libraries that help in the efficient processing of data as well as in scientific computing. Some of the important libraries used in Machine Learning systems include Tensor Flow, Sci-kit Learn, NumPy, Theano, etc.
The advantages of the programming language R, which was created for statistical computing and data mining, make it the ideal choice for machine learning jobs. R offers a wide variety of statistical models and computation methods for use in various computing jobs.
Stay Updated
The ever-evolving nature of technology makes it extremely important to stay updated and brush up on your knowledge of trending technologies. You can attend webinars and conferences, follow the news and blogs/vlogs on Machine Learning, and keep upgraded regarding modifications to Machine Learning models can help you gain consistent knowledge.
To keep yourself updated, you can start reading eBooks and blogs that are updated regularly and are available free of cost. You can read the research papers that are published by Google Map-Reduce, Google File System, Google Big Table, etc.
Conclusion
By now, you are clear about the aspects that you must brush up on and advance your skillset to excel in the field of Machine Learning. An online training course from Simplilearn can prove to be a great move to advance yourself. This course promises to equip you with all the required knowledge and skills required to build Machine Learning models. Also, the training is delivered via industry experts active in their domain and conduct doubt sessions at the end so that your knowledge is updated. Career guidance in the form of the Job Assist program is one of the most important features of this course.
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